Zobrazeno 1 - 10
of 216
pro vyhledávání: '"J. Kearsley"'
Autor:
A. W. Silagy, R. Young, B. D. Kelly, F. Reeves, M. Furrer, A. J. Costello, B. J. Challacombe, N. M. Corcoran, J. Kearsley, P. Dundee, D. K. Agarwal
Publikováno v:
BJUI Compass, Vol 2, Iss 3, Pp 211-218 (2021)
Abstract Objective To evaluate local clinical outcomes of sliding clip renorrhaphy, from inception to current utilization for open, laparoscopic, and robotically assisted partial nephrectomy. Methods We reviewed prospectively maintained databases of
Externí odkaz:
https://doaj.org/article/9c489ff62c674e1cb4b5989245f382a9
Publikováno v:
Artificial Intelligence Chemistry, Vol 2, Iss 1, Pp 100050- (2024)
Graph neural networks have been successfully applied to machine learning models related to molecules and crystals, due to the similarity between a molecule/crystal and a graph. In this paper, we present three models that are trained with high-quality
Externí odkaz:
https://doaj.org/article/3d205d0a6b704551ae558cf8aa0ea5f1
Autor:
Raquel A Binder, Angela M Matta, Catherine S Forconi, Cliff I Oduor, Prajakta Bedekar, Paul N Patrone, Anthony J Kearsley, Boaz Odwar, Jennifer Batista, Sarah N Forrester, Heidi K Leftwich, Lisa A Cavacini, Ann M Moormann
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0307568 (2024)
COVID-19 disproportionately affected minorities, while research barriers to engage underserved communities persist. Serological studies reveal infection and vaccination histories within these communities, however lack of consensus on downstream evalu
Externí odkaz:
https://doaj.org/article/af5fe2c4d9a741759299e9a7aca30c1e
Autor:
Lili Wang, Paul N. Patrone, Anthony J. Kearsley, Jerilyn R. Izac, Adolfas K. Gaigalas, John C. Prostko, Hyung Joon Kwon, Weichun Tang, Martina Kosikova, Hang Xie, Linhua Tian, Elzafir B. Elsheikh, Edward J. Kwee, Troy Kemp, Simon Jochum, Natalie Thornburg, L. Clifford McDonald, Adi V. Gundlapalli, Sheng Lin-Gibson
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 21, p 15705 (2023)
COVID-19 has highlighted challenges in the measurement quality and comparability of serological binding and neutralization assays. Due to many different assay formats and reagents, these measurements are known to be highly variable with large uncerta
Externí odkaz:
https://doaj.org/article/964a2ccf770f43cdb30f18f0fd8a3ed6
Publikováno v:
Lab on a Chip. 22:3217-3228
Flow cytometry is an invaluable technology in biomedical research, but confidence in single-cell measurements remains limited due to a lack of appropriate techniques for uncertainty quantification (UQ). It is particularly challenging to evaluate the
Publikováno v:
Journal of Building Performance Simulation. 15:112-127
Autor:
Rayanne A, Luke, Anthony J, Kearsley, Nora, Pisanic, Yukari C, Manabe, David L, Thomas, Christopher D, Heaney, Paul N, Patrone
Publikováno v:
ArXiv.
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has emphasized the importance and challenges of correctly interpreting antibody test results. Identification of positive and negative samples requires a classification strategy
Publikováno v:
Journal of the American Oil Chemists' Society. 98:837-850
Publikováno v:
Analytical and Bioanalytical Chemistry
Motivated by the current COVID-19 health crisis, we consider data analysis for quantitative polymerase chain-reaction (qPCR) measurements. We derive a theoretical result specifying the conditions under which all qPCR amplification curves (including t
Autor:
Samuel P. Forry, Paul N. Patrone, J. Alexander Liddle, Daniel Schiffels, Jacob M. Majikes, Anthony J. Kearsley, Michael Zwolak
Publikováno v:
Nucleic Acids Res
Structural DNA nanotechnology, as exemplified by DNA origami, has enabled the design and construction of molecularly-precise objects for a myriad of applications. However, limitations in imaging, and other characterization approaches, make a quantita